Vacation Rentals - Austria

Austria

Highlights

By 2024, it is predicted that the revenue in Austria's Vacation Rentals market will reach US$645.30m.
The market is expected to exhibit an annual growth rate of 3.90%, resulting in a projected market size of US$781.10m by 2029.
In Austria's Vacation Rentals market, the number of users is predicted to rise to 2.69m users by 2029.
The user penetration rate is expected to increase from 27.0% in 2024 to 29.8% by 2029.
The average revenue per user (ARPU) is expected to be US$266.10.
By 2029, online sales are expected to generate 88% of the total revenue in Austria's Vacation Rentals market.
It is noteworthy that United States will have the highest revenue in the Vacation Rentals market worldwide, amounting to US$20bn in 2024.
Austria's Vacation Rentals market is seeing an increase in demand for mountain chalets and ski resorts, driven by the country's reputation as a winter sports destination.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Amidst the stunning Alpine landscapes and rich cultural heritage of Austria, the Vacation Rentals market is experiencing a notable surge in popularity.

Customer preferences: Travelers in Austria are increasingly seeking unique and authentic experiences, driving the demand for vacation rentals that offer a more personalized and immersive stay. This shift in preferences is fueled by a desire to explore off-the-beaten-path destinations and engage with local communities.

Trends in the market: One prominent trend in the Austrian Vacation Rentals market is the rise of eco-friendly and sustainable properties. Travelers are showing a growing interest in environmentally conscious accommodation options, leading to an increase in eco-friendly vacation rentals across the country. Additionally, the integration of smart home technology and amenities in vacation rentals is becoming more common, enhancing the overall guest experience.

Local special circumstances: Austria's strong tradition of hospitality and emphasis on quality service play a significant role in shaping the Vacation Rentals market. The country's reputation for exceptional customer service and attention to detail has translated into the vacation rental sector, with hosts often going above and beyond to ensure guests have a memorable stay. Furthermore, the diverse range of vacation rental options available in Austria, from charming chalets in the mountains to elegant apartments in historic cities, caters to a wide array of traveler preferences.

Underlying macroeconomic factors: The steady growth of Austria's tourism industry, coupled with increasing disposable incomes and a growing preference for experiential travel, are key macroeconomic factors driving the expansion of the Vacation Rentals market. As more travelers prioritize unique and authentic experiences, the demand for vacation rentals in Austria is expected to continue to rise. Additionally, the country's stable economy and strong infrastructure make it an attractive destination for both domestic and international tourists seeking high-quality accommodation options.

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of vacation rentals.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on a specific rationale for each market. As a basis for evaluating markets, we use financial reports, the Global Consumer Survey, third-party studies and reports, data from industry associations (e.g., UNWTO), and price data of major players in respective markets. To estimate the number of users and bookings, we furthermore use data from the Statista Consumer Insigths Global survey. In addition, we use relevant key market indicators and data from country-specific associations, such as country-related GDP, demographic data (e.g., population), tourism spending, consumer spending, internet penetration, and device penetration. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, ARIMA, which allows time series forecasts, accounting for stationarity of data and enabling short-term estimates. Additionally, simple linear regression, Holt-Winters forecast, and exponential trend smoothing methods are applied. A k-means cluster analysis allows for the estimation of similar countries. The main drivers are tourism GDP per capita and respective price indices.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change.